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Position Description Due to research needs, the research group of Professor Huai-Liang Chang at the Institute for Math & AI, Wuhan, and the School of Mathematics and Statistics, Wuhan University, is
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of appointment) in Mathematics, Applied Mathematics, Statistics, or a related field. A strong research record and the ability to work both independently and collaboratively. Enthusiasm for cross-disciplinary
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Position Description This position is for two years. A Ph.D. in mathematics, statistics or a closely-related field is required. Applicants need to first contact and get consent from a postdoc mentor
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are especially encouraged: (1) statistical mechanics, condensed-matter theory, quantum field theory; (2) tensor networks, quantum information, quantum algorithms; (3) machine learning, generative models, large
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materials, quantum error correction, and quantum simulations. • Quantum for AI: We explore the principles of quantum mechanics and statistical physics to design next-generation AI architectures, driving
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on the following frontier topics: - Topological quantum matter, non-Abelian braiding statistics and their applications - Quantum geometry effects (Berry phase, quantum metric) in condensed matter physics
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research fellowship openings, in all area of theoretical and applied mathematics, including statistics. We invite new or recent Ph.D.’s with outstanding research potential to apply for these openings
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Position Description Subject Area 1. Pure Mathematics 2. Applied Mathematics 3. Statistics 4. Computer Science 5. Artificial Intelligence 6. Cyberspace Security Qualifications: 1. Demonstrating
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postdoctoral position in all areas of mathematics and statistics. Requirements include a new or recent Ph.D in Mathematics, Statistics and related areas. The applicants are expected to be under 35. For more
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for continuous and long-duration gravitational-wave signals, and is involved in stochastic gravitational-wave background studies. Research spans gravitational-wave astronomy, particle physics, and statistical